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Google Associate-Cloud-Engineer試験は、Compute Engine、Kubernetes Engine、Cloud Storage、Stackdriver、IAMなどのGoogle Cloud Platform製品やサービスの知識を試験することを目的としています。この試験は、アプリケーションの展開や管理、オペレーションの監視、アクセスやセキュリティコントロールの設定能力を評価します。

この試験は、複数選択の質問で構成されており、Googleクラウドプラットフォームに関する候補者の実践的な知識と理解をテストするように設計されています。試験の長さは2時間で、候補者は合格するために最低70％を獲得する必要があります。試験料は125ドルで、認定は2年間有効です。

>> Associate-Cloud-Engineer復習問題集 <<

Associate-Cloud-Engineer模擬解説集、Associate-Cloud-Engineer認定資格試験問題集

私たちに知られているように、当社では世界中でAssociate-Cloud-Engineer認定トレーニング資料のベストセールとアフターサービスがあります。当社は、過去数年にわたり、すべてのお客様に最適で最も適切なAssociate-Cloud-Engineer最新の質問を設計するために、この分野で多くの優秀な専門家および教授を採用してきました。さらに重要なことは、当社のAssociate-Cloud-Engineerトレーニング教材が高品質であることはすべて明白であり、Associate-Cloud-Engineer試験問題の品質が市場の他の学習教材よりも高いことを確認できます。

Google Associate Cloud Engineer Exam 認定 Associate-Cloud-Engineer 試験問題 (Q33-Q38):

質問 # 33
You deployed an App Engine application using gcloud app deploy, but it did not deploy to the intended project. You want to find out why this happened and where the application deployed. What should you do?

• A. Go to Deployment Manager and review settings for deployment of applications.
• B. Check the app.yaml file for your application and check project settings.
• C. Check the web-application.xml file for your application and check project settings.
• D. Go the Cloud Shell and run gcloud config list to review the Google Cloud configuration used for deployment.

正解：B

質問 # 34
A team of data scientists infrequently needs to use a Google Kubernetes Engine (GKE) cluster that you manage. They require GPUs for some long-running, non-restartable jobs. You want to minimize cost. What should you do?

• A. Create a node pool of instances with GPUs, and enable autoscaling on this node pool with a minimum size of 1.
• B. Create a VerticalPodAutscaler for those workloads.
• C. Create a node pool with preemptible VMs and GPUs attached to those VMs.
• D. Enable node auto-provisioning on the GKE cluster.

正解：D

解説：
auto-provisioning = Attaches and deletes node pools to cluster based on the requirements. Hence creating a GPU node pool, and auto-scaling would be better https://cloud.google.com/kubernetes-engine/docs/how-to
/node-auto-provisioning

質問 # 35
(You manage a VPC network in Google Cloud with a subnet that is rapidly approaching its private IP address capacity. You expect the number of Compute Engine VM instances in the same region to double within a week. You need to implement a Google-recommended solution that minimizes operational costs and does not require downtime. What should you do?)

• A. Create a second VPC with the same subnet IP range, and connect this VPC to the existing VPC by using VPC Network Peering.
• B. Delete the existing subnet, and create a new subnet with double the IP range available.
• C. Use the Google Cloud CLI tool to expand the primary IP range of your subnet.
• D. Permit additional traffic from the expected range of private IP addresses to reach your VMs by configuring firewall rules.

正解：C

解説：
Comprehensive and Detailed In Depth Explanation:
The problem states that a subnet is nearing its IP address capacity, and the requirement is to expand it without downtime and with minimal operational cost, following Google-recommended practices.
A: Creating a second VPC with the same subnet IP range and peering: While VPC Network Peering allows communication between VPCs, having overlapping IP ranges is generally not recommended and can lead to routing complexities if not managed carefully. It also adds operational overhead of managing two VPCs. This is not the most straightforward or cost-effective solution for simply expanding IP capacity within the same logical network.
B: Deleting and recreating the subnet: Deleting a subnet that contains active VM instances will cause downtime for those instances, violating a key requirement.
C: Using the Google Cloud CLI tool to expand the primary IP range of your subnet: Google Cloud allows you to expand the primary IP range of an existing subnet after it's created, as long as there are no conflicting subnets in the VPC. This operation does not require deleting the subnet or restarting the existing VMs within it, thus avoiding downtime. It's a direct and cost-effective way to increase the available IP address space within the existing subnet. This is a Google-recommended practice for handling subnet capacity issues.
D: Permitting additional traffic with firewall rules: Firewall rules control network traffic based on IP ranges, protocols, and ports. They do not increase the number of available private IP addresses within the subnet. This option does not address the core issue of IP address exhaustion.
Therefore, expanding the primary IP range of the existing subnet using the Google Cloud CLI is the recommended solution that meets all the requirements: addressing IP capacity, minimizing operational costs, and avoiding downtime.
Google Cloud Documentation References:
Expanding Subnet IP Ranges: https://cloud.google.com/vpc/docs/expand-subnet - This documentation explicitly describes how to expand the IP range of an existing subnet without downtime. It outlines the prerequisites and steps involved using the gcloud CLI or the Google Cloud Console.
VPC Network Overview: https://cloud.google.com/vpc/docs/vpc - Provides context on subnet IP ranges and their management.

質問 # 36
You need to assign a Cloud Identity and Access Management (Cloud IAM) role to an external auditor. The auditor needs to have permissions to review your Google Cloud Platform (GCP) Audit Logs and also to review your Data Access logs. What should you do?

• A. Assign the auditor the IAM role roles/logging.privateLogViewer. Perform the export of logs to Cloud Storage.
• B. Assign the auditor the IAM role roles/logging.privateLogViewer. Direct the auditor to also review the logs for changes to Cloud IAM policy.
• C. Assign the auditor's IAM user to a custom role that has logging.privateLogEntries.list permission. Perform the export of logs to Cloud Storage.
• D. Assign the auditor's IAM user to a custom role that has logging.privateLogEntries.list permission. Direct the auditor to also review the logs for changes to Cloud IAM policy.

正解：B

解説：
Google Cloud provides Cloud Audit Logs, which is an integral part of Cloud Logging. It consists of two log streams for each project: Admin Activity and Data Access, which are generated by Google Cloud services to help you answer the question of who did what, where, and when? within your Google Cloud projects.
Ref: https://cloud.google.com/iam/docs/job-functions/auditing#scenario_external_auditors

質問 # 37
Your company developed an application to deploy on Google Kubernetes Engine. Certain parts of the application are not fault-tolerant and are allowed to have downtime Other parts of the application are critical and must always be available. You need to configure a Goorj e Kubernfl:es Engine duster while optimizing for cost. What should you do?

• A. Create a cluster with a single node-pool by using Spot VMs. Label the critical Deployments as spot- false.
• B. Create a cluster with both a Spot W node pool and a rode pool by using standard VMs Deploy the critical.deployments on the Spot VM node pool and the fault; tolerant deployments on the node pool by using standard VMs.
• C. Create a cluster with both a Spot VM node pool and by using standard VMs. Deploy the critical deployments on the mode pool by using standard VMs and the fault-tolerant deployments on the Spot VM node pool.
• D. Create a cluster with a single node-pool by using standard VMs. Label the fault-tolerant Deployments as spot-true.

正解：B

質問 # 38
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